A fast algorithm for constructing efficient event-related functional magnetic resonance imaging designs

DOI10.1080/00949655.2013.804524zbMath1453.92161OpenAlexW2014171746MaRDI QIDQ5219499

Ming-Hung Kao, Hans D. Mittelmann

Publication date: 12 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2286/R.I.26941

zbMATH Keywords

genetic algorithms\(D\)-optimalityautoregressive processcyclic permutation\(A\)-optimalitymaximin designshill-climbing technique

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Biomedical imaging and signal processing (92C55)

Related Items (2)

Optimal and efficient designs for functional brain imaging experiments ⋮ A novel statistical approach to remove salt-and-pepper noise

Uses Software

• Matlab
• ER-fMRI

Cites Work

• The statistical analysis of fMRI data
• Efficient Designs for Event-Related Functional Magnetic Resonance Imaging with Multiple Scanning Sessions
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A fast algorithm for constructing efficient event-related functional magnetic resonance imaging designs